What is Pak-LLM and its Real-Time Urdu Voice AI?

Pak-LLM is Pakistan's sovereign AI ecosystem featuring bidirectional, low-latency Urdu Voice AI. Users can speak naturally in Pakistani Urdu (ur-PK) and receive fluent spoken responses generated by Faster-Whisper ASR and Coqui XTTS-v2 speech synthesis with an audio-reactive visualizer orb.

Is voice audio or recording stored on Pak-LLM servers?

No. In strict compliance with NIST SP 800-88 Media Sanitization standards, raw voice audio is processed purely in volatile RAM and is immediately purged upon transcription. Zero audio recording is stored on disk or permanent databases.

How does Pak-LLM achieve low-latency Urdu voice interaction and barge-in?

Pak-LLM utilizes streaming WebSockets (/ws/voice), Faster-Whisper models fine-tuned on Pakistani dialects, and Silero VAD (Voice Activity Detection) to detect user speech and halt AI output in under 100ms for natural conversational turn-taking.

What security standards does Pak-LLM comply with?

Pak-LLM complies with NIST FIPS 203 (ML-KEM-768 Post-Quantum Key Encapsulation), NIST SP 800-88 (Zero Residual Data Retention), NIST SP 800-53 (Sovereign Node Security Controls), and the Draft Pakistan Personal Data Protection Bill (PDPB).

Which demographic packages include Urdu Voice AI minutes?

All 9 demographic subscription packages include allocated Urdu Voice AI minutes: Free Awaam (15 mins/mo), Talib-e-Ilm (60 mins/mo), Freelancer Pro (250 mins/mo), Kasib/SME (500 mins/mo), Tajir/E-commerce (800 mins/mo), Alim/Shariah (1,200 mins/mo), Wakeel/Legal (1,500 mins/mo), Idara/Govt (3,000 mins/mo), and Khalij/Enterprise (3,500 mins/mo).

Step-by-Step Feature Manual & Tutorials

How to Use Project Pak-LLM

Practical, step-by-step documentation on Sovereign Chat, RAG Vector Search, 12+ Demographic Skills, Pak-Workflows Studio, FLUX/Wan Multimedia, PQC Vault, and all 9 package tiers.

Language:

Documentation Chapters (16)

1. Sovereign Chat & Regional Prompting

Interact with Pakistan's domestic LLM using native Nastaliq Urdu, Pashto, Sindhi, Balochi, Arabic, and English with up to 95% token savings (based on internal benchmarks comparing native Nastaliq BPE tokenization against standard Western LLM tokenizers), zero foreign data routing, and audio voice synthesis.

Step 1: Start a New Workspace Chat

Open the Chat Workspace (/chat). Type your inquiry in standard Nastaliq Urdu (اردو), Roman Urdu, Pashto, Sindhi, Balochi, Arabic, or English. Press Enter or click the Send button to stream the response.

Best Practice Tips

Native Nastaliq BPE Tokenizer consumes up to 95% fewer tokens per prompt compared to Western LLMs (based on internal benchmarks comparing native Nastaliq BPE tokenization against standard Western LLM tokenizers).
Click the Microphone icon to speak your prompt in Urdu or English with automatic speech-to-text.
Click the Speaker icon on any AI response to listen to crisp native Urdu voice synthesis.
Click the Keyboard icon (⌨️) in the input bar or sidebar to install Google Gboard (Android/iOS) or Windows/Mac Urdu Phonetic keyboards.

Launch Chat Workspace

Step 2: Attach Reference Documents & Invoices

Click the '+' button in the chat input box and select 'Attach Document / File'. Upload court judgments, tax challans, utility bills, or business contracts in PDF, DOCX, TXT, or CSV format (up to 20MB).

Best Practice Tips

Pak-LLM parses English, Urdu, and bilingual legal contracts with page-level semantic referencing.
Ask targeted questions like: 'اس کنٹریکٹ میں ادائیگی کی شرائط اور جرمانے کی شقیں کیا ہیں؟'

Step 3: Monitor Live Token Quota Consumption

Observe the live Token Meter at the bottom of the sidebar. Every query reports the exact token count consumed, remaining quota, and days left in your tenure.

Have a question or encounter a bug?

Submit feedback or chat with sovereign enterprise advisory.

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